Energy savings by smart utilization of mechanical and natural ventilation for hybrid residential building model in passive climate
This paper focuses on the efficiency of controlling building internal temperature and relative humidity by ventilation and infiltration flow rate. Building model is inevitable to study the feasibility of building ventilation, and how it affects the indoor air quality. A hybrid model is built using p...
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my.uniten.dspace-294142023-12-28T12:12:58Z Energy savings by smart utilization of mechanical and natural ventilation for hybrid residential building model in passive climate Homod R.Z. Sahari K.S.M. 36994633500 57218170038 Building model Energy control HVAC system Natural ventilation RLF method Air conditioning Buildings Flow rate Indoor air pollution Power control Thermal comfort Ventilation Building model Building ventilations Climate condition Empirical functions HVAC system Hybrid model Indoor air quality Indoor air velocity Indoor thermal comfort Indoor/outdoor Internal temperature Main parameters Mechanical ventilation Modeling approach Natural ventilation Predicted mean vote Residential building model Residential load factors Response sensitivity analysis RLF method Variable air volume Climate models This paper focuses on the efficiency of controlling building internal temperature and relative humidity by ventilation and infiltration flow rate. Building model is inevitable to study the feasibility of building ventilation, and how it affects the indoor air quality. A hybrid model is built using physical and empirical functions of subsystems model, where the empirical function being the residential load factor (RLF) used to calculate the cooling/heating load depending on the indoor/outdoor temperature. Furthermore, by using the RLF method, the parameters of the model can be calculated room by room, which is appropriate for variable air volume (VAV). The subsystem modeling approach chosen divides the building into four components, which are closely related to the indoor thermal comfort. Indoor thermal comfort represented by predicted mean vote (PMV) can be represented by temperature, indoor air velocity and relative humidity which are controlled by the HVAC system. Response sensitivity analysis is carried out on the main parameters of the model by applying real climate conditions data for a passive climate. Simulations with varied flow rate mechanical ventilation are conducted within 24 h. Results indicate that there is a great opportunity to take advantage of mechanical ventilation to help achieve thermal comfort while reducing the dependency on powered cooling. � 2012 Elsevier B.V. Final 2023-12-28T04:12:58Z 2023-12-28T04:12:58Z 2013 Article 10.1016/j.enbuild.2012.10.034 2-s2.0-84874592115 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84874592115&doi=10.1016%2fj.enbuild.2012.10.034&partnerID=40&md5=d11dc2cf522b79ea65b540ce5021f967 https://irepository.uniten.edu.my/handle/123456789/29414 60 310 329 Scopus |
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Building model Energy control HVAC system Natural ventilation RLF method Air conditioning Buildings Flow rate Indoor air pollution Power control Thermal comfort Ventilation Building model Building ventilations Climate condition Empirical functions HVAC system Hybrid model Indoor air quality Indoor air velocity Indoor thermal comfort Indoor/outdoor Internal temperature Main parameters Mechanical ventilation Modeling approach Natural ventilation Predicted mean vote Residential building model Residential load factors Response sensitivity analysis RLF method Variable air volume Climate models |
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Building model Energy control HVAC system Natural ventilation RLF method Air conditioning Buildings Flow rate Indoor air pollution Power control Thermal comfort Ventilation Building model Building ventilations Climate condition Empirical functions HVAC system Hybrid model Indoor air quality Indoor air velocity Indoor thermal comfort Indoor/outdoor Internal temperature Main parameters Mechanical ventilation Modeling approach Natural ventilation Predicted mean vote Residential building model Residential load factors Response sensitivity analysis RLF method Variable air volume Climate models Homod R.Z. Sahari K.S.M. Energy savings by smart utilization of mechanical and natural ventilation for hybrid residential building model in passive climate |
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This paper focuses on the efficiency of controlling building internal temperature and relative humidity by ventilation and infiltration flow rate. Building model is inevitable to study the feasibility of building ventilation, and how it affects the indoor air quality. A hybrid model is built using physical and empirical functions of subsystems model, where the empirical function being the residential load factor (RLF) used to calculate the cooling/heating load depending on the indoor/outdoor temperature. Furthermore, by using the RLF method, the parameters of the model can be calculated room by room, which is appropriate for variable air volume (VAV). The subsystem modeling approach chosen divides the building into four components, which are closely related to the indoor thermal comfort. Indoor thermal comfort represented by predicted mean vote (PMV) can be represented by temperature, indoor air velocity and relative humidity which are controlled by the HVAC system. Response sensitivity analysis is carried out on the main parameters of the model by applying real climate conditions data for a passive climate. Simulations with varied flow rate mechanical ventilation are conducted within 24 h. Results indicate that there is a great opportunity to take advantage of mechanical ventilation to help achieve thermal comfort while reducing the dependency on powered cooling. � 2012 Elsevier B.V. |
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36994633500 |
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36994633500 Homod R.Z. Sahari K.S.M. |
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Homod R.Z. Sahari K.S.M. |
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Homod R.Z. |
title |
Energy savings by smart utilization of mechanical and natural ventilation for hybrid residential building model in passive climate |
title_short |
Energy savings by smart utilization of mechanical and natural ventilation for hybrid residential building model in passive climate |
title_full |
Energy savings by smart utilization of mechanical and natural ventilation for hybrid residential building model in passive climate |
title_fullStr |
Energy savings by smart utilization of mechanical and natural ventilation for hybrid residential building model in passive climate |
title_full_unstemmed |
Energy savings by smart utilization of mechanical and natural ventilation for hybrid residential building model in passive climate |
title_sort |
energy savings by smart utilization of mechanical and natural ventilation for hybrid residential building model in passive climate |
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2023 |
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1806426306790817792 |
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